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577 articles for “Exploration Strategy”
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Early Disease Detection Using Artificial Intelligence
Abstract: Growth in artificial intelligence and machine learning now make it possible for the healthcare sector to be totally transformed by a new chapter, particularly in the era of medical image analysis. This study focuses on harnessing these advancements to develop a sophisticated model for early disease detection across diverse medical domains, majorly in skin disease. By integrating diverse datasets and leveraging advanced algorithms, our methodology aims to identify subtle disease …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 11–19 Read article
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VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion
Abstract: Road safety for bike riders remains a significant concern, with accident rates highlighting the need for advanced solutions to ensure rider protection and awareness. This paper presents “VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion”, a voice-activated, continuously operating assistance system designed to provide real-time, intelligent solutions for various riding scenarios. VERONICA integrates accident detection, low-traffic route navigation, traction control advisories, and weather updates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 09–17 Read article
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Application of Grey Wolf Optimizer (GWO) strategy for Malware Analysis
Abstract: The ever-evolving landscape of cybersecurity necessitates continuous advancements in malware analysis techniques. This study explores the deployment of the Grey Wolf Optimizer (GWO) algorithm as a novel bio-inspired optimization mechanism to address the challenges posed by modern malware threats. The primary objective is to enhance various facets of malware analysis, including feature selection, parameter optimization, and the overall efficacy of malware detection models. The study begins by introducing the GWO …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 43–53 Read article
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Symmetry Breaking in Mathematical Models: Bifurcation, Chaos, and Pattern Formation
Abstract: Symmetry breaking serves as a central organizing principle in the understanding of nonlinear systems across physics, biology, chemistry, and engineering. When a system transitions from a symmetric state to an asymmetric configuration, it often signals the onset of new structures, dynamic behaviors, or even chaotic regimes. This review explores symmetry breaking from the theoretical and mathematical perspectives of bifurcation theory, chaos theory, and pattern formation. We discuss how small parameter …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 25–30 Read article
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Recycling and Reinforcement of Retired EV Battery Materials in Polymer Composites for Sustainable Engineering Applications
Abstract: The rapid proliferation of electric vehicles (EVs) has led to a substantial increase in lithium-ion battery waste, necessitating sustainable strategies for material recovery and reuse. This review explores the valorization of retired Electrical Vehicle batteries within polymer and composite systems, highlighting second-life applications as a promising pathway toward circular material utilization. Batteries retaining 70–80% of their original capacity remain suitable for extended use; however, beyond conventional energy storage, their constituent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 362–371 Read article
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AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations
Abstract: In the current landscape of escalating cyber threats and increasingly sophisticated attack vectors, integrating artificial intelligence (AI) within cybersecurity strategies has become a critical step forward. This study explores the role of AI in strengthening cybersecurity by utilizing its strengths in data analysis, pattern recognition, and predictive modeling. Through AI, organizations can greatly enhance their ability to detect and respond to threats. Machine learning algorithms enable ongoing adaptation to new …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 35–41 Read article
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Nutritional Enhancements in Dairy Products
Abstract: Dairy products play a crucial role in diets globally, providing key nutrients like proteins, fats, vitamins, and minerals. However, with evolving dietary needs and a growing focus on public health, the fortification of dairy products has emerged as a critical strategy to enhance their nutritional profile. This review explores the fortification of dairy products with vitamins, minerals, probiotics, and other health-promoting ingredients, examining the methods, benefits, challenges, and future prospects …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 18–23 Read article
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Bimetallic Catalysis in Renewable Energy Applications: A Review
Abstract: The transition to renewable energy sources necessitates innovative catalytic solutions to improve efficiency and sustainability. Bimetallic catalysis, leveraging the synergistic effects of two distinct metals, has emerged as a promising strategy in various renewable energy applications. This review explores the unique properties and mechanisms of bimetallic catalysts, highlighting their roles in biomass conversion, hydrogen production, and CO2 reduction. We delve into the interplay of electronic and geometric effects in these …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 25–29 Read article
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Enhancing Patient Safety: A Study On Adr Monitoring In Tertiary Care Hospitals
Abstract: Background: Adverse drug reactions (ADRs) are a major concern in healthcare, causing patient morbidity and mortality. The objective of this study was to investigate the adverse drug reactions in a tertiary care hospital. Methods: From January to July 2024, an observational study was carried out at Bangalore's Akash Super Specialty Hospital. 51 individuals had their demographics, medications, and suspected adverse drug reactions (ADRs) gathered. The Naranjo scale was used to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 1–7 Read article
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Intergenerational Cycle of Malnutrition & Ill Health
Abstract: Malnutrition is a pervasive global issue that significantly undermines the health, productivity, and overall development of individuals, particularly in low-income and developing regions. It affects all age groups but disproportionately impacts young children and women, perpetuating an intergenerational cycle of ill health and poverty. Factors such as economic disparities, lack of education, and entrenched social inequalities exacerbate the prevalence of malnutrition, making it a critical barrier to achieving sustainable development …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 1, 2025 · pp. 19–25 Read article
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Computational Identification of Antigenic Proteins and Epitopes in Hantavirus sp. for Drug Repurposing
Abstract: Hantavirus is an emerging virus that spreads from animals to humans and can cause serious illnesses like hantavirus pulmonary syndrome (HPS) and hemorrhagic fever with renal syndrome (HFRS). there are no FDA-approved treatments available for these diseases. This study explores in-silico drug repurposing as a strategy to identify potential therapeutic candidates. The physicochemical, secondary structure, antigenicity, and post-translational modification analysis of hantavirus proteins – specifically the glycoprotein precursor, N protein, …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 20–26 Read article
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Accelerating Innovation: Design, Development, and Manufacturing of Artificial Intelligence- Enhanced Smart Electric Vehicles
Abstract: This research paper delves into the dynamic landscape of automotive engineering, focusing on the accelerated innovation facilitated by the integration of artificial intelligence (AI) in the design, development, and manufacturing processes of smart electric vehicles (SEVs). With sustainability and efficiency at the forefront of contemporary transportation initiatives, SEVs stand as a beacon of technological advancement, offering a paradigm shift towards eco-friendly mobility solutions. By harnessing the power of AI algorithms, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 9–25 Read article
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Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
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Enhancing Computer Science Education through Visualization and Engagement
Abstract: The topic of visualization and engagement in computer science. This research paper attracts attention to computer science education. Computer science education is considered a very difficult course by many computer science students. But given that computer education is such an important science, this paper explores the significance of visualization techniques and engagement strategies in computer science education. Computer science education helps us understand dynamic processes such as the working of …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Harnessing the Medicinal Potential of SwertiaChirata: A Phytochemical Strategy for Controlling Coronavirus Symptoms Like High Fever and Anxiety
Abstract: The current investigation focuses on exploring the therapeutic capacities of SwertiaChirata, colloquially known as Chirata, in managing the symptomatic displays of coronavirus infections. Chirata, a member of the Gentianaceae family, is a distinguished herb extensively used in Ayurvedic and Unani medicinal traditions, acknowledged for its myriad of healing qualities. In addition to its regular use in combating fever and loss of appetite, its prominent antioxidant traits position it as an …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 27–31 Read article
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Role of Fatigue and Creep in Structural Damage: A Comprehensive Review
Abstract: Fatigue and creep are two critical degradation mechanisms that significantly influence the structural integrity and longevity of engineering materials. These phenomena arise due to different loading and environmental conditions but often coexist in various industrial applications, leading to severe material degradation over time. Fatigue primarily results from cyclic loading, where repeated stress variations induce microstructural damage and crack initiation, ultimately causing catastrophic failure. Conversely, creep occurs under sustained stress at …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 22–26 Read article
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Advances In HIV Research: Epidemiology, Pathogenesis, And Emerging Therapeutic Strategies
Abstract: Human Immunodeficiency Virus (HIV) remains a critical global health concern, infecting millions of individuals each year. The introduction of antiretroviral therapy (ART) has markedly improved disease outcomes by suppressing viral replication, restoring immune function, and extending patient longevity. Despite these advances, the complete eradication of HIV is hindered by the persistence of viral reservoirs, the emergence of drug-resistant strains, and disparities in healthcare accessibility. This review summarizes key developments in …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 · pp. 1–5 Read article
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Leveraging Biosensors for Enhanced Family Dynamics: Strategies for Mental Health and Well-being in the Digital Age
Abstract: This study investigates the integration of biosensors as innovative solutions for optimizing family dynamics and promoting mental health and well-being in the digital era. By exploring the intersection of biosensor technology with family interactions, communication patterns, and conflict resolution strategies, this study offers practical insights and recommendations for leveraging biosensors to strengthen familial relationships and support individual mental health. Through a multidisciplinary approach, combining psychology, sociology, and biosensor engineering, this …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 9–18 Read article
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Rapid Post-uterine Involution in Dairy Cows: Mechanisms, Dietary Strategies, and Impact on Postpartum Recovery
Abstract: The postpartum period in dairy cows is critical for reproductive success, with uterine involution playing a central role in returning the reproductive tract to its pre-pregnancy state. Rapid uterine involution is essential for improving reproductive performance and minimizing the risk of postpartum complications. This review explores the nutritional mechanisms that influence uterine involution, focusing on key dietary strategies to promote tissue repair and recovery. We examine the role of energy, …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article
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Eco-friendly Interior Design Practices
Abstract: The present study delves into the examination of environmentally conscious interior design techniques and their consequences for the built environment's sustainability. The use of sustainable materials, energy efficiency, waste reduction, biophilic design, indoor air quality improvement, water conservation, certifications and standards, social responsibility, ethical sourcing, and cost-benefit analysis are just a few of the strategies and concepts that are examined in the study.This study explores how these approaches help create …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 1, 2024 · pp. 1–18 Read article